ETIS White Papers¶
The ETIS White Paper Series develops the conceptual and professional foundation of Engineering Trustworthy Intelligent Systems. The twelve papers examine how software engineering, governance, evidence, operations, education, and professional practice are changing in the AI era.
How to use this series
The papers are arranged in three phases. Readers new to ETIS should begin with WP-001 and continue in sequence. Experienced readers may enter through a topic-specific reading path.
Phase I — Foundations¶
WP-001 — Engineering Trustworthy Software in the AI Era
Why Software Engineering Matters More—not Less—in the Age of AI
Establishes the central ETIS argument: increased AI capability increases the need for engineering judgment, evidence, governance, and operational trust.
View WP-001 →WP-002 — Repository-Centered Engineering
Why the Repository Is Becoming the Engineering System of Record
Explains why the repository must carry decisions, evidence, traceability, governance, and operational lineage—not only source code.
View WP-002 →WP-003 — Engineering Evidence
From Artifacts to Operational Proof in the AI Era
Defines engineering evidence as the basis for review, accountability, release confidence, and durable trust.
View WP-003 →WP-004 — Engineering Agentic Software Systems
From AI Assistance to Bounded Autonomy and Governed Execution
Examines authority boundaries, supervision, controls, and evidence for systems that act with increasing autonomy.
View WP-004 →WP-005 — Engineering Education in the AI Era
Preparing Engineers for Judgment, Evidence, Teamwork, and Trust
Reframes software engineering education around professional judgment, repository-centered work, AI oversight, and operational responsibility.
View WP-005 →Phase II — Professional Engineering Practices¶
WP-006 — Engineering Governance
Governance as an Engineering Architecture
Shows how governance becomes executable through roles, controls, repositories, evidence, and review mechanisms.
View WP-006 →WP-007 — Engineering Review and Readiness
Moving Beyond Demonstration to Defensible Engineering Decisions
Explains why review must evaluate evidence, risk, readiness, and decision quality rather than presentation quality alone.
View WP-007 →WP-008 — Operational Readiness
Engineering Systems That Can Be Operated, Supported, and Trusted
Connects release decisions to observability, supportability, recovery, incident response, and operational ownership.
View WP-008 →WP-009 — Context Engineering
Designing the Information Environment for Reliable AI-Assisted Work
Treats context as a controlled engineering input that shapes model behavior, decision quality, and system reliability.
View WP-009 →Phase III — Future of the Profession¶
WP-010 — Engineering Digital Colleagues
Designing Human–Agent Teams for Accountable Engineering Work
Explores how engineers and intelligent agents can collaborate while preserving authority, review, traceability, and responsibility.
View WP-010 →WP-011 — Engineering Trust
Why Trust Must Be Designed, Evidenced, and Maintained
Defines trust as an engineered outcome supported by evidence, transparency, governance, reliability, and stewardship.
View WP-011 →WP-012 — The ETIS Manifesto
Principles for Engineering Trustworthy Intelligent Systems
Consolidates the core ETIS doctrine into a concise set of commitments for the AI era.
View WP-012 →Related ETIS Areas¶
The PDF is the authoritative edition of each paper. Canonical publication webpages will be added as the next implementation phase.